Basic Testing

• Loading packages, auto installation if needed

# creating requiredPkg function: install and load multiple R packages.
# for checking to see if required packages are installed.
# install if needed, then load into the R session.

requiredPkg <- function(pkg){
new.pkg <- pkg[!(pkg %in% installed.packages()[, "Package"])]
if (length(new.pkg)) 
    install.packages(new.pkg, dependencies = TRUE)
sapply(pkg, require, character.only = TRUE)
}

# applying the function
packages <- c("ggplot2", "plotly", "devtools", "colorspace")
requiredPkg(packages)
# devtools::install_github("ropensci/plotly")
# install.packages("plotly")
# library(plotly)

Import data

• Setting directory
• Loading the dataset

#setting working directory
#(WD <- getwd())
#if (!is.null(WD)) setwd(WD)
# setwd("")
faudata <- read.table(header = TRUE, file = "feasibilityData/FAU.csv", sep = ",")
head(faudata)

fauemo <- read.table(header = TRUE, file = "feasibilityData/FAU_Emotions.csv",
                     sep = ",")
head(fauemo)

landmarks <- read.table(header = TRUE, file = "feasibilityData/Landmarks.csv",
                     sep = ",")
head(landmarks)

speech <- read.table(header = TRUE, file = "feasibilityData/Speech_Overview.csv",
                     sep = ",")
head(speech)

transcript <- read.table(header = TRUE,
                         file = "feasibilityData/Transcipt_Overview.csv",
                         sep = ",")
head(transcript)

### working with TRANSCRIPT

transcript$Emotion <- factor(transcript$Emotion) # factor
summary(transcript$Emotion)

##   Angry   Bored Excited    Fear   Happy     Sad 
##       2       9       7       2       5       5

### defining subsets
angry <- subset(transcript, transcript$Emotion=="Angry")
bored <- subset(transcript, transcript$Emotion=="Bored")
excited <- subset(transcript, transcript$Emotion=="Excited")
fear <- subset(transcript, transcript$Emotion=="Fear")
happy <- subset(transcript, transcript$Emotion=="Happy")
sad <- subset(transcript, transcript$Emotion=="Sad")

hist(transcript$Anger, xlab="ANGER")

hist(transcript$Bored, xlab="BORED")

# plot(transcript$Sr..No., transcript$Anger)

### PLOTLY graphs

f <- list(
  family = "Courier New, monospace",
  size = 16,
  color = "#7f7f7f"
)
x <- list(
  title = "Time (instances)",
  titlefont = f
)
y <- list(
  title = "Emotion Classification",
  titlefont = f
)

fig_group <- plot_ly(
  type = 'scatter',
  x = ~transcript$Sr..No.,
  y = ~transcript$Emotion,
  text = paste("Make: ", rownames(transcript),
               "<br>Time (instances): ", transcript$Sr..No.,
               "<br>Emotion: ", transcript$Emotion,
               "<br>Anger: ", transcript$Anger),
  hoverinfo = 'text',
  mode = 'markers',
  transforms = list(
    list(
      type = 'groupby',
      groups = transcript$Emotion,
      styles = list(
        list(target = 2, value = list(marker =list(color = 'green'))),
        list(target = 4, value = list(marker =list(color = 'blue'))),
        list(target = 6, value = list(marker =list(color = 'red'))),
        list(target = 8, value = list(marker =list(color = 'black')))
      )
      )
    )
  )
fig_group <- fig_group %>% layout(title = "OpenFace Emotion Classification",
                                  font = f, xaxis = x, yaxis = y)
fig_group